damccorm commented on code in PR #25200:
URL: https://github.com/apache/beam/pull/25200#discussion_r1093510531
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sdks/python/apache_beam/pipeline.py:
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@@ -525,6 +525,31 @@ def run(self, test_runner_api='AUTO'):
self.contains_external_transforms = (
ExternalTransformFinder.contains_external_transforms(self))
+ # Finds if RunInference has side inputs enables.
+ # also, checks for the side input window is global and has non default
+ # triggers.
+ run_inference_visitor = RunInferenceVisitor().visit_run_inference(self)
+ self._run_inference_contains_side_input = (
+ run_inference_visitor.contains_run_inference_side_inputs)
+
+ self.run_inference_global_window_non_default_trigger = (
+ run_inference_visitor.contains_global_windows_non_default_trigger)
+
+ if (self._run_inference_contains_side_input and
+ not self._options.view_as(StandardOptions).streaming):
+ raise RuntimeError(
+ "SideInputs to RunInference PTransform is only supported "
Review Comment:
> If you do have a streaming source, the pipeline should automatically run
in streaming mode.
AFAIK, this isn't actually true in Python today.
> if just because a mode is more useful in one mode than the other doesn't
mean we should prohibit it in the other unless it's actually detrimental.
I think its detrimental in the batch use case because understanding the
behavior requires understanding runner internals (in this case, how
Dataflow/other runners handle stages), and the behavior is very confusing if
you don't understand those internals. This is antithetical to one of the
purposes of RunInference: taking a hard beam thing and making it easy.
I want RunInference users to be able to think about Beam as little as
possible when building their pipelines, even if it comes at the cost of some of
the purity of the unified model.
-----------------------------------------------------------
One possible reconciliation here would be to emit a warning in batch mode
with an informative error message, or allow users to intentionally enable
running in batch mode with a parameter (though neither of those seem like
awesome experiences, and I'd still personally favor explicitly disallowing
this).
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